Showing your working: a how to guide to reproducible research
Kirstie Whitaker
10.6084/m9.figshare.5443201.v1
https://figshare.com/articles/journal_contribution/Showing_your_working_a_how_to_guide_to_reproducible_research/5443201
Part of EPFL Library "Lets Talk About Open Science" Evening Talks<br><br>https://library.epfl.ch/open-science-evening-talks<br><br>September 26th 2017<br><br><b>Abstract<br></b>This talk will discuss the perceived and actual barriers experienced by
researchers attempting to do reproducible research, and give practical
guidance on how they can be overcome. It will include suggestions on how
to make your code available and usable for others (including a strong
suggestion to document it clearly so you don't have to reply to lots of
email questions from future users). Resources will be persistently
available after the talk and all audience members will leave knowing
there is something they can do to step towards making their research
reproducible.<br><br><b>Bio</b><br>Kirstie Whitaker is a Research Fellow at <a href="https://www.turing.ac.uk/">The Alan Turing Institute</a>
(London, UK). She completed her PhD in Neuroscience at the University
of California, Berkeley in 2012 and holds a BSc in Physics from the
University of Bristol and an MSc in Medical Physics from the University
of British Columbia. She was a postdoctoral researcher in the Department
of Psychiatry at the University of Cambridge from 2012 to 2017. Dr
Whitaker uses magnetic resonance imaging to study child and adolescent
brain development and is a passionate advocate for reproducible
neuroscience. She is an Fulbright scholarship alumna and 2016/17 <a href="https://science.mozilla.org/programs/fellowships/fellows">Mozilla Fellow for Science</a>. Kirstie was named, with her collaborator Petra Vertes, as a <a href="https://gt.foreignpolicy.com/2016/profile/petra-vertes-and-kirstie-whitaker">2016 Global Thinker</a> by Foreign Policy magazine.
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2017-09-26 15:18:54
reproducible research
open science
jupyter notebook
git
github
version control
rubberducking
Research, Science and Technology Policy